Description
Microsoft continues to redefine the future of AI, seeking passionate engineers to tackle complex and impactful challenges. This role focuses on building distributed systems and APIs that power adaptive, context-aware experiences across Microsoft AI.
The ideal candidate will possess a methodical approach to problem-solving, proficiency in backend technologies, and familiarity with applied AI. They will lead the design and development of distributed data infrastructure, APIs, and personalization pipelines that drive Copilot's intelligence.
Responsibilities
- Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
- Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.
- Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
- Build real-time and batch personalization engines that adapt Copilot's behavior.
- Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.
- Optimize for performance, reliability, and cost across diverse workloads and geographies.
- Ship high-quality, well-tested, secure, and maintainable code.
Qualifications
- Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building systems with coding in languages including Python, C#, C++, Golang, Rust, Java.
- OR equivalent experience.
Preferred Qualifications
- 4+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
- Experience with large-scale data systems.
- Experience working with AI platforms, frameworks, and APIs.
The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 per year. In specific locations such as the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $160,200.00 – $261,000.00 per year.